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In view of determining the optimal solutions to large problem cases of the routing and spectrum allocation with transceiver and regeneration allocation problem in elastic optical networks, the optimization proves to be challenging in terms of the (i) size of the network, (ii) demand(s) amount, and (ii) width of the spectrum. In the current work, we develop an optimization approach that is a combination of advanced scalable (heuristics) and large-scale optimization approaches. The routing and spectrum allocation with transceiver and regeneration allocation problem is formulated as a mixed integer program, and to solve it efficiently, the branch and price algorithm is upgraded with the following methods: (i) relaxation(s) of the problem and cuts to improve the optimal objective value’s lower bounds and (ii) formulation of a heuristic to improve the upper bounds, and finally, the aforementioned elements are mixed to form an effective optimization method. The simulation conducted for (i) realistic topologies characterized by different node(s) numbers and link distances, and (ii) large sets of demands demonstrate that the developed algorithm’s performance is efficient, and it is also applicable to problem cases for which determining the solution(s) proves to be difficult by using commercially available solvers (e.g. CPLEX) in the market.

RETRACTED ARTICLE: Solutions to large cases of RSA with transceiver and regeneration allocation (RSAwTCRA) problem in elastic optical networks